Sign in
GeneticsJournal of Population Therapeutics and Clinical Pharmacology
Peer-reviewed journal article

Genetic Explication of Impaired Insulin Resistance in Genesis of Metabolic Diseases

Naveed Iqbal SoomroiD, Syeda Marriam BakhtiariD

Abstract

This study aims to investigate the role of impaired insulin resistance in the onset and progression of metabolic diseases such as prediabetes, diabetes, and cardiovascular diseases. Insulin resistance occurs when insulin is unable to effectively stimulate glucose uptake, and if the body is unable to produce sufficient insulin to compensate, type 2 diabetes may develop. This research endeavors to elucidate the molecular and genetic underpinnings of insulin resistance and its association with metabolic disorders. Employing various tools and databases, gene interaction data was procured through GeneMania, and pathway validation was conducted using KEGG. Construction of gene regulatory networks employed GEPHI 0.9.2, with centralities statistical analysis identifying hub genes. Enrichment analysis and literature validation substantiated the significance of these hubs, resulting in the refinement of the initially identified seven genes to five with interaction data. The implicated hub genes were discerned to play roles in inflammation, either directly or indirectly. Future prospects involve further genetic analysis across diverse populations, utilizing PCR to discern the allelic variations of these identified hub genes. Ultimately, this research may shed light on the underlying genetic and molecular mechanisms of insulin resistance and metabolic syndrome, and contribute to the development of targeted treatments for these conditions.

PDFDOI

02 /Specification & Classification

Click any tag to browse matching papers
Citations
1
FWCI
0.33
Field percentile
top 38%

Reproducibility ledger

Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.

Sign in to file a reproducibility report.

Similarity Map
SelectedSame fieldCross-field
THISGarcía‐Ureñ '26Gloudemans '22Gandham '23Li '26Kitamoto '21Romero '24
57% semantic matchGenetic & Genomic Medicine